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Federated Learning Engineer.

Albuquerque.

$112,000

median salary, 16% below the national average

$84,000 to $147,000. Last updated August 2026.

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Data points to own the conversation.

Federated Learning Engineer pay in Albuquerque ranges from $84,000 to $147,000 in 2026. The median is $112,000, 16% below the national average. Albuquerque's economy is driven by Sandia and Los Alamos National Laboratories, Kirtland Air Force Base, and a growing film production industry. Every dollar in that range is negotiable if you come prepared. These figures are Orbyt estimates, computed rather than measured, and must not be cited as Bureau of Labor Statistics figures; the published BLS wage for the occupation this role maps to is shown separately on this page.

Salary range.

25th Percentile

$84,000

per year

Median

$112,000

per year

75th Percentile

$147,000

per year

Where do you fall?

$84,000$147,000

Orbyt estimate for Federated Learning Engineer in Albuquerque, modelled from national occupation wages adjusted for local cost of living. The published government benchmark for this occupation is below.

Government benchmark for this occupation

The US Bureau of Labor Statistics reports a median annual wage of $123,700 for Software Developers (SOC 15-1252) in the Albuquerque, NM metropolitan area, based on 2,280 employed workers (May 2025 release).

10th percentile

$78,290

25th percentile

$99,780

Median

$123,700

75th percentile

$159,780

90th percentile

$182,580

Workers surveyed

2,280

BLS publishes wages by occupation code, not by job title, so this figure covers every role mapped to Software Developers (SOC 15-1252) rather than Federated Learning Engineer specifically. The Albuquerque range at the top of this page is Orbyt’s role-level estimate, which is a different thing and is labelled as such.

View the BLS source for SOC 15-1252

Salary by experience.

The gap between entry and lead level is typically $101,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$73,000

to $90,000

Mid (3-5 yrs)

$95,000

to $118,000

Senior (6-9 yrs)

$123,000

to $146,000

Lead (10+ yrs)

$140,000

to $174,000

Total compensation.

Base salary is not the full picture. Equity, bonus, and signing can add $33,000 to the total package.

Base

$112,000

Equity

$19,000

Bonus

$12,000

Signing

$2,000

Estimated total: $145,000

How Albuquerque compares.

Albuquerque, NM

$112,000

Cost of living: 12% below average

National Average

$133,000

Albuquerque is $21,000 below

Federated Learning Engineer salary by city.

Federated Learning Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$189,000$141,000 to $247,0001.38x$137,000
San Francisco, CA$183,000$136,000 to $240,0001.35x$136,000
New York, NY$177,000$132,000 to $232,0001.28x$138,000
Washington DC, DC$173,000$129,000 to $226,0001.25x$138,000
Honolulu, HI$171,000$127,000 to $224,0001.30x$132,000
Boston, MA$169,000$126,000 to $221,0001.22x$139,000
Seattle, WA$167,000$124,000 to $218,0001.24x$135,000
San Diego, CA$159,000$118,000 to $208,0001.17x$136,000
Los Angeles, CA$155,000$116,000 to $203,0001.18x$131,000
Albuquerque, NM$112,000$84,000 to $147,0000.88x$127,000

See all 81 cities for Federated Learning Engineer →

Salary by role in Albuquerque.

Salary comparison by role in Albuquerque
RoleMedianRange
CTO$267,000$208,000 to $347,000
General Counsel$237,000$184,000 to $308,000
CEO$232,000$169,000 to $321,000
Pharmacist$113,000$101,000 to $130,000
Federated Learning Engineer$112,000$84,000 to $147,000
NLP Engineer$112,000$84,000 to $147,000
Speech Recognition Engineer$112,000$87,000 to $143,000
Actuary$112,000$81,000 to $147,000

What you should know.

If you are interviewing for Federated Learning Engineer roles in Albuquerque, here is what you are walking into. Albuquerque's economy is driven by Sandia and Los Alamos National Laboratories, Kirtland Air Force Base, and a growing film production industry. The city offers affordable living and a strong pipeline of research and engineering jobs tied to national defense and energy programs. This privacy-preserving AI specialization commands premiums driven by regulatory demand and technical complexity. Engineers with production federated learning deployments across healthcare, finance, or telecommunications earn 15 to 22% more than general ML engineers. Expertise in secure aggregation protocols, differential privacy mechanisms, and communication-efficient training across distributed nodes significantly increases market value.

ML engineers or privacy engineers earning $115,000 to $155,000 specialize into federated learning at $140,000 to $248,000. Senior federated learning engineers earn $195,000 to $270,000 before advancing to Principal Privacy ML Engineer or Head of Privacy-Preserving AI at $230,000 to $300,000. In Albuquerque, your dollars stretch further. Cost of living runs 12% below the national average, which means even a median salary buys a stronger lifestyle.

Base salary is not the full picture. Total packages range from $220,000 to $420,000 with equity, privacy compliance bonuses, and research incentives of 12 to 22% of base. Healthcare and financial services companies offer the strongest total compensation due to strict data privacy requirements driving federated learning adoption. And on the tax side: new Mexico's top income tax rate is 5.9%. Albuquerque has no city income tax. The moderate state rate and affordable housing create reasonable net compensation. When someone quotes you $112,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Highlight security clearance or national lab experience. Sandia and Los Alamos pay nationally competitive salaries with excellent federal benefits packages. The range for Federated Learning Engineers in Albuquerque runs from $84,000 to $147,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Sources: BLS OES, H-1B LCA (DOL). COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified July 1, 2026. Full methodology

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$

25th

$84,000

Median

$112,000

75th

$147,000

Considering a related role?

Common questions.

GDPR, HIPAA, and emerging AI regulations have increased demand for federated learning expertise by 30 to 40% since 2024. Engineers who combine federated learning skills with regulatory compliance knowledge earn 10 to 18% premiums, as they bridge the gap between technical implementation and legal requirements.

The role has shifted decisively toward production engineering since 2025, which has actually increased compensation. Engineers who can deploy and maintain federated learning systems across thousands of devices earn more than those focused purely on algorithmic research, reflecting the market's need for operational expertise.

The national median for a Federated Learning Engineer is $127,273. In Albuquerque, cost of living adjustments push the median to $112,000. That discount reflects Albuquerque's lower housing, transportation, and everyday costs.

Total packages range from $220,000 to $420,000 with equity, privacy compliance bonuses, and research incentives of 12 to 22% of base. Healthcare and financial services companies offer the strongest total compensation due to strict data privacy requirements driving federated learning adoption. In Albuquerque's market, the base range of $84,000 to $147,000 is just the starting point for negotiation.

In 2026, the average Federated Learning Engineer salary in Albuquerque, NM is $112,000. The estimated range runs from $84,000 to $147,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

Remote work has compressed geographic salary premiums for Federated Learning Engineers. Some Albuquerque employers offer location adjusted pay, while others maintain local rates to attract in office talent. In Albuquerque's moderate cost market, remote and local salaries are converging. The $84,000 to $147,000 range reflects both arrangements.

Ask about equity structure, vesting schedule, annual bonus targets, 401(k) match, health insurance premiums, PTO policy, and remote flexibility. Total packages range from $220,000 to $420,000 with equity, privacy compliance bonuses, and research incentives of 12 to 22% of base. In Albuquerque's market, these extras can add $28,000 or more on top of the base salary.

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"Federated Learning Engineer Salary in Albuquerque, NM." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/federated-learning-engineer/albuquerque

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